确定高等学校招生规模的BP神经网络模型

近几年，我国高等教育招生规模有较大增长，缓解了高中生升大学的压力，可是增加了大学毕业生就业的压力。如何合理地确定招生规模，实现高等教育稳步发展是值得研究的。建立了确定高等学校招生规模的BP神经网络模型，模型考虑了国家和家庭教育投入、高中毕业生占总人口的比重三个因素。经模型分析表明近年来招生规模增长太快，教育投入没有跟上。

A BP neural network model to decide the college enrolment scales

In resent years, Chinas college enrolment scales have grown up quickly which mitigates the difficulty of high school graduates going on with their studies, but college graduates bear the pressure in finding their jobs. So, it is valuable to study how to decide college enrolment scales. In the paper, an BP neural network model is developed to decide college enrolment scales in consideration of national and residential education budgets,and of the percentage of the high school graduates of the population. According to the analysis with the model, it is indicated that the budget growth in education does not keep pace with the increase of the college enrolment scales in recent years.